Research output per year
Research output per year
Personal profile
About
Dr. Omiya Hassan joined Boise State University in 2023 and is currently an assistant professor in the Department of Electrical and Computer Engineering. She earned her Ph.D. in the Department of Electrical Engineering and Computer Science (EECS) at the University of Missouri, and her Bachelor of Science degree in Electrical and Electronics Engineering (EEE) in 2017 from United International University, Bangladesh. Dr. Hassan’s current research focuses on designing energy-efficient machine-learning (ML) model-based integrated circuits (IC) for biomedical applications. Her research interests include Integrated Circuit Design, VLSI, Embedded Computing Systems, Biomedical Instrumentation, and Domain-Specific Hardware Architecture Design.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Research Assistant, University of Missouri
1 Jan 2018 → 1 Jan 2023
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection
Hassan, O., 2023, In: IEEE Transactions on Instrumentation and Measurement. 72Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection (Journal of Signal Processing Systems, (2022), 94, 6, (609-619), 10.1007/s11265-021-01722-7)
Hassan, O., Paul, T., Shuvo, M. M. H., Parvin, D., Thakker, R., Chen, M., Mosa, A. S. M. & Islam, S. K., Nov 2023, In: Journal of Signal Processing Systems. 95, 11, p. 1353 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
A Multi-Sensor Based Automatic Sleep Apnea Detection System for Adults Using Neural Network Inference on FPGA
Hassan, O., Paul, T., Thakker, R., Parvin, D., Shuvo, M. M. H., Mosa, A. S. & Islam, S., 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).Research output: Chapter in Book/Report/Conference proceeding › Chapter
4 Scopus citations -
DeepSAC: Shift Accumulate Based Deep Learning Model Embedded Digital Hardware Design for Sleep Apnea Detection
Hassan, O., 2022.Research output: Contribution to conference › Presentation
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ECG and SpO2 Signal-Based Real-Time Sleep Apnea Detection Using Feed-Forward Artificial Neural Network
Paul, T., Hassan, O., Alaboud, K., Islam, H., Rana, M. K. Z., Islam, S. K. & Mosa, A. S. M., 23 May 2022, In: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2022, p. 379-385 7 p.Research output: Contribution to journal › Article › peer-review
12 Scopus citations
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IEEE Solid-State Circuits Society (External organization)
Hassan, O. (Member)
1 Jan 2018 → …Activity: Membership › Membership of network
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IEEE Instrumentation and Measurement (External organization)
Hassan, O. (Member)
1 Jan 2018 → …Activity: Membership › Membership of network
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IEEE Circuits and Systems Society (External organization)
Hassan, O. (Member)
1 Jan 2018 → …Activity: Membership › Membership of network
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IEEE Women in Engineering (External organization)
Hassan, O. (Member)
1 Jan 2015 → 1 Jan 2023Activity: Membership › Membership of network
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IEEE Students (External organization)
Hassan, O. (Member)
1 Jan 2015 → 1 Jan 2023Activity: Membership › Membership of network